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Channel-wise Subband Input for Better Voice and Accompaniment Separation
  on High Resolution Music

Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music

12 August 2020
Haohe Liu
Lei Xie
Jian Wu
Geng Yang
ArXivPDFHTML

Papers citing "Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music"

13 / 13 papers shown
Title
FlowSep: Language-Queried Sound Separation with Rectified Flow Matching
FlowSep: Language-Queried Sound Separation with Rectified Flow Matching
Yi Yuan
Xubo Liu
Haohe Liu
Mark D. Plumbley
Wenwu Wang
102
8
0
10 Jan 2025
Multi-channel U-Net for Music Source Separation
Multi-channel U-Net for Music Source Separation
V. S. Kadandale
Juan F. Montesinos
G. Haro
Emilia Gómez
62
8
0
23 Mar 2020
Voice and accompaniment separation in music using self-attention
  convolutional neural network
Voice and accompaniment separation in music using self-attention convolutional neural network
Yuzhou Liu
B. Thoshkahna
A. Milani
T. Kristjansson
51
17
0
19 Mar 2020
Content Based Singing Voice Extraction From a Musical Mixture
Content Based Singing Voice Extraction From a Musical Mixture
Pritish Chandna
Merlijn Blaauw
J. Bonada
E. Gómez
61
14
0
12 Feb 2020
Investigating U-Nets with various Intermediate Blocks for
  Spectrogram-based Singing Voice Separation
Investigating U-Nets with various Intermediate Blocks for Spectrogram-based Singing Voice Separation
Woosung Choi
Minseok Kim
Jaehwa Chung
Daewon Lee
Soonyoung Jung
46
4
0
02 Dec 2019
Improving singing voice separation with the Wave-U-Net using Minimum
  Hyperspherical Energy
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy
Joaquin Perez-Lapillo
Oleksandr Galkin
Tillman Weyde
17
12
0
22 Oct 2019
DurIAN: Duration Informed Attention Network For Multimodal Synthesis
DurIAN: Duration Informed Attention Network For Multimodal Synthesis
Chengzhu Yu
Heng Lu
Na Hu
Meng Yu
Chao Weng
...
Deyi Tuo
Shiyin Kang
Guangzhi Lei
Dan Su
Dong Yu
CVBM
48
118
0
04 Sep 2019
MMDenseLSTM: An efficient combination of convolutional and recurrent
  neural networks for audio source separation
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation
Naoya Takahashi
Nabarun Goswami
Yuki Mitsufuji
76
143
0
07 May 2018
The 2018 Signal Separation Evaluation Campaign
The 2018 Signal Separation Evaluation Campaign
Fabian-Robert Stöter
Antoine Liutkus
N. Ito
49
285
0
17 Apr 2018
Multi-scale Multi-band DenseNets for Audio Source Separation
Multi-scale Multi-band DenseNets for Audio Source Separation
Naoya Takahashi
Yuki Mitsufuji
43
152
0
29 Jun 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
725
36,708
0
25 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.7K
76,917
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
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